COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
|
pure
|
|
|
not pure
|
|
|
useful
|
|
|
useless
|
Detailed explanation-1: -High entropy means that the partitions in classification are. Entropy is a measure of the randomness in the information being processed. The higher the entropy, the harder it is to draw any conclusions from that information. It is a measure of disorder or purity or unpredictability or uncertainty.
Detailed explanation-2: -High entropy means that the partitions in classification are “pure”.
Detailed explanation-3: -Explanation: Entropy is a measure of the randomness in the information being processed So the higher the entropy, the harder it is to draw any conclusions from that information. Entropy is a measure of disorder or purity or unpredictability or uncertainty.
Detailed explanation-4: -Experts, intelligent persons, are not part of AI like natural intelligent.
Detailed explanation-5: -Answer-A) PCA Is not supervised learning.